Disaster site multi-channel wireless communication layout method

CN122970484APending Publication Date: 2026-10-23WUWEI FIRE RESCUE DETACHMENT (WUWEI FIRE RESCUE BUREAU)
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Patent Information

Application Number
CN202611335514.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-08-31
Publication Date
2026-10-23

AI Technical Summary

Technical Problem

[0003]现有技术中,灾害现场通信布设主要面临以下问题,第一,现有应急通信设备通常仅支持单一制式的通信方式,当该频段受到干扰或覆盖受限时,通信即告中断,缺乏多信道冗余能力,第二,通信节点的布设位置和信道配置依赖人工经验,未能根据灾害类型和现场地形特征进行优化配置,导致通信覆盖效果不稳定,第三,通信链路建立后,缺乏对信道质量的动态评估机制,无法在通信质量恶化时及时切换到更优的信道

Benefits of technology

1、本发明通过采集灾害类型参数和地形地貌参数生成信道配置策略表,使通信网络在布设阶段即根据灾害现场的环境特征完成信道预配置,避免了布设后再反复调整的滞后性问题。

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Abstract

The present application relates to the field of wireless communication technology and emergency communication technology, and specifically refers to a kind of disaster scene multi-channel wireless communication layout method, multiple communication nodes are deployed in disaster scene, each node is configured with at least two different communication modules;Collect disaster type parameters and topographic parameters to generate channel configuration strategy table;According to the channel configuration strategy table, the main channel type and the standby channel type are distributed on each communication node, and the multi-channel communication link is established between multiple communication nodes;In the communication process, each communication node monitors its signal strength parameters, error rate parameters and load rate parameters on each channel type, and switches the channel type according to the monitoring result.The present application improves the reliability and adaptability of the communication network in disaster scene through the channel pre-configuration based on disaster type and topographic parameters, the redundant communication mechanism of the simultaneous establishment of main and standby dual links and the multi-dimensional parameter comprehensive evaluation of channel adaptive switching.
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Description

Technical Field

[0001] This invention relates to the fields of wireless communication technology and emergency communication technology, specifically to a method for deploying multi-channel wireless communication at disaster sites. Background Technology

[0002] Communication support at disaster sites is a critical link in emergency rescue work. When natural disasters such as earthquakes, floods, fires, and landslides occur, conventional communication infrastructure such as base stations and optical cables are often damaged, resulting in communication interruptions at the scene. After emergency rescue teams arrive at the disaster site, they need to quickly establish a reliable communication network to support on-site command and dispatch, personnel positioning, and disaster information feedback.

[0003] In existing technologies, the deployment of communication at disaster sites mainly faces the following problems: First, existing emergency communication equipment usually only supports a single communication mode. When the frequency band is interfered with or coverage is limited, communication is interrupted, lacking multi-channel redundancy capability. Second, the deployment location and channel configuration of communication nodes rely on human experience and fail to be optimized according to the disaster type and on-site terrain features, resulting in unstable communication coverage. Third, after the communication link is established, there is a lack of dynamic evaluation mechanism for channel quality, making it impossible to switch to a better channel in a timely manner when communication quality deteriorates.

[0004] To address the aforementioned issues, several solutions exist in the prior art. Patent document CN121308886A discloses an emergency broadcast terminal communication method and system based on multi-dimensional dynamic evaluation. It uses a fuzzy inference model to calculate channel priority and achieve primary / backup channel switching. This solution is suitable for emergency broadcast terminal scenarios, but it has the following shortcomings: its fuzzy inference model relies on the construction and maintenance of an expert rule base, and the completeness and adaptability of the rule base directly determine the accuracy of priority calculation. Furthermore, this solution does not address the deployment method of communication nodes at disaster sites or the establishment process of multi-channel communication links. Patent document CN117768868A discloses a wireless emergency communication method that selects relay nodes based on remaining battery power and signal strength. This solution focuses on relay node selection rather than the deployment and configuration of multi-channel communication and does not involve a channel pre-configuration mechanism based on environmental parameters. Patent document CN112423309A discloses an automatic communication node deployment device that completes deployment by releasing nodes using a drone. This solution only involves the physical deployment device level of the nodes and does not address the methods for channel configuration, link establishment, and dynamic switching of channel quality after deployment.

[0005] Therefore, a multi-channel wireless communication deployment method that can adapt to the complex environment of disaster sites is needed, forming a complete closed loop from node deployment, environmental perception and channel pre-configuration, establishment of primary and backup redundant links to dynamic monitoring and switching of channel quality. Summary of the Invention

[0006] The technical problem to be solved by the present invention is that existing disaster site communication deployment methods lack a mechanism for pre-configuring channels according to disaster type and terrain features, lack the ability to synchronously establish multi-channel primary and backup redundant links, and lack the ability to dynamically switch channels based on multi-dimensional parameter comprehensive evaluation.

[0007] To address the technical problems existing in the prior art, this invention provides a method for deploying multi-channel wireless communication at disaster sites, comprising the following steps: Step S1: Deploy multiple communication nodes within the target area of ​​the disaster site, with each communication node configured with at least two different communication modules; Step S2: Collect disaster type parameters and topographic parameters at the disaster site, and generate a channel configuration strategy table based on the disaster type parameters and topographic parameters; Step S3: According to the channel configuration strategy table, allocate the primary channel type and the backup channel type on each communication node, and establish a multi-channel communication link between multiple communication nodes. Step S4: During the communication process, each communication node monitors its signal strength parameters, bit error rate parameters, and load rate parameters for each channel type, and switches the channel type based on the monitoring results.

[0008] Further, in step S2, the channel configuration strategy table includes: a priority score for each communication node on different channel types, the priority score being calculated using the following formula: ; in, This represents the priority score of the i-th communication node on the j-th channel type. This represents the coverage parameter of the i-th communication node on the j-th channel type, calculated from the communication node's transmit power and terrain parameters. This represents the bandwidth capacity parameter of the i-th communication node on the j-th channel type, which is determined by the modulation scheme and operating frequency band of the communication module. The anti-interference performance parameter of the i-th communication node on the j-th channel type is obtained from the spreading gain and channel coding method of the communication module. , , The weighting coefficients for coverage range, bandwidth capacity, and anti-interference performance parameters are respectively, and are all preset constants that satisfy... .

[0009] Furthermore, in step S1, the multiple communication nodes include at least one backbone node and at least one access node. The backbone node is deployed in the central area of ​​the disaster site, and the access node is deployed in the edge area of ​​the disaster site. The backbone node is connected to the external communication network via a wired connection, and the access node is connected to the backbone node via a wireless connection.

[0010] Furthermore, in step S3, the process of establishing a multi-channel communication link includes the following sub-steps: Step S31: Each communication node broadcasts its configured list of available channels; Step S32: Determine the adjacent communication nodes by the received signal strength on the beacon channel. The adjacent communication nodes select the channel type with the highest priority score from the list of available channels as the primary channel type and select the channel type with the second highest priority score as the backup channel type according to the channel configuration strategy table. Step S33: Simultaneously establish a primary communication link based on the primary channel type and a backup communication link based on the backup channel type between adjacent communication nodes. Both the primary communication link and the backup communication link are in a connected state.

[0011] Further, in step S4, the process of switching channel types includes: calculating the comprehensive quality score of each communication node on each channel type at a preset period, wherein the comprehensive quality score is calculated by the following formula: ; in, This represents the overall quality score of the i-th communication node at time t on the j-th channel type. This represents the normalized signal strength of the i-th communication node at time t on the j-th channel type. This represents the channel load rate of the i-th communication node at time t on the j-th channel type. This represents the bit error rate of the i-th communication node at time t on the j-th channel type. , , These are the signal strength weighting coefficient, channel load weighting coefficient, and bit error rate weighting coefficient, respectively, all of which are preset constants and satisfy the following conditions: .

[0012] Furthermore, in step S4, when the i-th communication node achieves a comprehensive quality score on the j-th channel type... When the threshold is lower than the preset threshold, the communication services carried on the j-th channel type will be switched to the other channel type with the highest comprehensive quality score in the i-th communication node.

[0013] Furthermore, in step S1, the communication module includes at least two of the following: a UHF band communication module, an ultra-high frequency band communication module, a wireless local area network communication module, and a satellite communication module.

[0014] Furthermore, in step S2, the disaster type parameter includes at least one of earthquake type parameter, flood type parameter, fire type parameter and landslide type parameter, and the topographic parameters include at least one of altitude parameter, building density parameter and ground roughness parameter.

[0015] The advantages of this invention compared to the prior art are: 1. This invention generates a channel configuration strategy table by collecting disaster type parameters and topographic parameters, enabling the communication network to pre-configure the channel based on the environmental characteristics of the disaster site during the deployment phase, thus avoiding the lag problem of repeated adjustments after deployment.

[0016] 2. This invention achieves redundant backup of communication links by assigning a primary channel type and a backup channel type to each communication node and simultaneously establishing a primary communication link and a backup communication link. When a link fails, the communication service can be instantly switched to the backup link without re-establishing a connection.

[0017] 3. This invention monitors signal strength parameters, bit error rate parameters, and load rate parameters and switches channel types accordingly, thereby achieving multi-dimensional comprehensive evaluation and adaptive switching of channel quality, ensuring that communication always operates on the optimal channel. Attached Figure Description

[0018] The accompanying drawings, which form part of this application, are used to provide a further understanding of the application and to make other features, objects, and advantages of the application more apparent. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application.

[0019] In the attached diagram: Figure 1 This is an overall flowchart of a multi-channel wireless communication deployment method for disaster sites according to the present invention.

[0020] Figure 2 This is a structural block diagram of a communication node in a multi-channel wireless communication deployment method for disaster sites according to the present invention.

[0021] Figure 3 This is a flowchart illustrating the channel switching decision-making process of a multi-channel wireless communication deployment method at disaster sites according to the present invention. Detailed Implementation

[0022] The following detailed description of the embodiments is used to exemplify the principles of this application, but should not be used to limit the scope of this application. That is, the multi-channel wireless communication deployment method at disaster sites in this application is not limited to the described embodiments.

[0023] The present invention will be further described below with reference to embodiments.

[0024] Example 1 This embodiment provides a specific implementation method for deploying multi-channel wireless communication at disaster sites.

[0025] Step S1: Deploy multiple communication nodes within the target area at the disaster site.

[0026] The communication node is the hardware foundation of the method of the present invention. Each communication node has an independent power supply system and computing processing unit. The communication node is configured with at least two different communication modules. These communication modules are connected to the central processing unit of the node through an internal bus. The central processing unit is responsible for protocol conversion, data routing and channel switching decisions.

[0027] Specifically, such as Figure 2 As shown, the communication module includes at least two of the following: a UHF band communication module, an ultra-high frequency band communication module, a wireless local area network (WLAN) communication module, and a satellite communication module. The UHF band communication module operates in the 300MHz to 3000MHz frequency band, has good diffraction and penetration capabilities, and is suitable for densely built-up areas. The ultra-high frequency band communication module operates in the 3000MHz to 30000MHz frequency band, has a high data transmission rate, and is suitable for high-capacity communication in open areas. The WLAN communication module operates in the 2.4GHz or 5GHz frequency band, supports standard WLAN protocols, and is suitable for short-range high-speed data exchange. The satellite communication module operates in the L-band or S-band, achieves long-distance communication through satellite relay, and is suitable for extreme scenarios where the public network is completely interrupted.

[0028] Multiple communication modules share the same antenna system, which adopts a multi-band shared antenna design. The transmission and reception of signals in different frequency bands are isolated through duplexers and filters. The power supply system of the communication nodes uses lithium battery packs, which support continuous operation for no less than 8 hours and are equipped with solar charging interfaces to extend the battery life.

[0029] Multiple communication nodes include at least one backbone node and at least one access node. The backbone node is deployed in the central area of ​​the disaster site, and the access node is deployed in the edge area of ​​the disaster site. The backbone node is connected to the external communication network via wired means and acts as a gateway between the entire communication network and the external communication network. The access node is connected to the backbone node via wireless means and is responsible for covering the terminal devices around the access node.

[0030] Step S2: Collect disaster type parameters and terrain parameters at the disaster site, and generate a channel configuration strategy table based on the disaster type parameters and terrain parameters.

[0031] The disaster type parameters include at least one of the following: earthquake type parameters, flood type parameters, fire type parameters, and landslide type parameters. Different types of disasters have different effects on communication channels. Earthquakes cause buildings to collapse, which has a significant signal blocking effect. Floods cause water surface reflection to increase, which affects the propagation path of wireless signals. The high temperature environment generated by fires affects the stability of equipment operation. Landslides cause terrain changes that alter the signal propagation path.

[0032] Topographic parameters include at least one of elevation parameters, building density parameters, and ground roughness parameters. Elevation parameters reflect the average elevation of the target area and affect the signal propagation distance and attenuation characteristics. Building density parameters reflect the number and distribution density of buildings in the target area and affect the signal penetration loss and diffraction path. Ground roughness parameters reflect the flatness of the ground and affect the signal reflection and scattering characteristics.

[0033] The channel configuration policy table includes a priority score for each communication node on different channel types. The priority score is calculated using the following formula: ; in, This represents the priority score of the i-th communication node on the j-th channel type. This represents the coverage parameter of the i-th communication node on the j-th channel type. This represents the bandwidth capacity parameter of the i-th communication node on the j-th channel type. This represents the anti-interference performance parameter of the i-th communication node on the j-th channel type. , , These are the weighting coefficients for coverage range, bandwidth capacity, and anti-interference performance parameters, respectively. , , All are preset constants and satisfy .

[0034] Coverage parameters Calculated based on the transmission power of the communication node and terrain parameters, specifically... The calculation process is as follows: First, the free-space propagation loss is determined based on the transmission power. Then, the propagation loss model is corrected based on the terrain parameters, including altitude, building density, and ground roughness, to obtain the maximum communication distance of the node under this channel type. Finally, this maximum communication distance is normalized to the interval between 0 and 1 to obtain the coverage parameter. .

[0035] Bandwidth capacity parameters The specific frequency band of the communication module is determined based on its modulation scheme and operating frequency. The calculation process is as follows: First, determine the spectral efficiency based on the modulation method; then, determine the available bandwidth based on the operating frequency band; multiply the two to obtain the theoretical maximum transmission rate; finally, normalize this maximum transmission rate to the interval between 0 and 1 to obtain the bandwidth capacity parameter. .

[0036] Anti-interference performance parameters The specific value is determined based on the spreading gain and channel coding method of the communication module. The calculation process is as follows: first, the processing gain is determined based on the spreading gain; then, the coding gain is determined based on the channel coding method; finally, the processing gain and coding gain are weighted, summed, and normalized to the interval between 0 and 1 to obtain the anti-interference performance parameters. .

[0037] Step S3: According to the channel configuration strategy table, allocate the primary channel type and the backup channel type on each communication node, and establish a multi-channel communication link between multiple communication nodes.

[0038] The process of establishing a multi-channel communication link includes the following sub-steps: Step S31: Each communication node broadcasts its configured list of available channels on a preset beacon channel. The beacon channel is a common channel agreed upon by all communication nodes and is used for node discovery and initial connection establishment. The list of available channels includes the channel type identifier and current operating parameters corresponding to all communication modules configured by the node.

[0039] Step S32: The adjacency relationship between nodes is determined by comparing the signal strength on the beacon channel. When the signal strength of two nodes on the beacon channel is greater than the preset threshold, they are determined to be adjacent nodes. The adjacent communication nodes select the channel type with the highest priority score from the list of available channels as the primary channel type and select the channel type with the second highest priority score as the backup channel type according to the channel configuration strategy table.

[0040] Step S33: Simultaneously establish a primary communication link based on the primary channel type and a backup communication link based on the backup channel type between adjacent communication nodes. Both the primary and backup communication links are in a connected state. The primary communication link carries real-time communication service data, while the backup communication link carries heartbeat signals and status synchronization data, keeping the communication modules at both ends working synchronously. When the primary communication link fails or its quality degrades, the backup communication link immediately takes over the communication service, and the switching process does not require re-establishing a connection.

[0041] like Figure 3 As shown, in step S4, during the communication process, each communication node monitors its signal strength parameters, bit error rate parameters, and load rate parameters for each channel type, and switches the channel type according to the monitoring results.

[0042] The process of switching channel types includes calculating the overall quality score of each communication node on each channel type at a preset period. The overall quality score is calculated using the following formula: ; in, This represents the overall quality score of the i-th communication node at time t on the j-th channel type. This represents the normalized signal strength of the i-th communication node at time t on the j-th channel type. This represents the channel load rate of the i-th communication node at time t on the j-th channel type. This represents the bit error rate of the i-th communication node at time t on the j-th channel type. , , These are the signal strength weighting coefficient, channel load weighting coefficient, and bit error rate weighting coefficient, respectively. , , All are preset constants and satisfy .

[0043] The calculation period for the comprehensive quality score is set according to the channel type and the type of communication service. For voice communication services with high real-time requirements, the calculation period is set to 100 milliseconds to 500 milliseconds, and for data communication services, the calculation period is set to 1 second to 5 seconds.

[0044] Signal strength parameters The received signal strength is obtained through the received signal strength indicator circuit of the communication module, and after normalization, a value in the range of 0 to 1 is obtained. When the received signal strength is greater than the receiver sensitivity, The value approaches 1 when the received signal strength is close to the receiver sensitivity. Approaching 0.

[0045] Bit error rate parameter The value is obtained statistically from the forward error correction decoder of the communication module, representing the proportion of the number of erroneous bits received per unit time to the total number of transmitted bits, with a value range from 0 to 1.

[0046] Load factor parameters This value is obtained through statistics from the central processing unit of the communication node, representing the ratio of the actual data traffic on the current channel to the maximum capacity of the channel, with a value ranging from 0 to 1.

[0047] When the overall quality score of the i-th communication node on the j-th channel type When the score is below the preset threshold, the communication service carried on the j-th channel type will be switched to the other channel type with the highest comprehensive quality score in the i-th communication node. The preset threshold is set as 60% to 80% of the statistical average of the comprehensive quality scores of each channel type. The preset threshold for different channel types can be set independently to adapt to the different communication quality requirements of different channel types.

[0048] After the channel switching is completed, the communication services on the switched channel are transferred to the target channel, while the original channel remains connected as a backup channel. Its overall quality score continues to be calculated according to a preset period. When the overall quality score of the original channel rises above the preset threshold and is higher than the overall quality score of the current working channel, the system can choose to switch the communication services back to the original channel.

[0049] Example 2 This embodiment, based on Embodiment 1, takes the communication deployment at an earthquake disaster site as an example to further illustrate the method of the present invention.

[0050] like Figure 1 As shown, after the earthquake disaster, buildings collapsed and conventional communication base stations were damaged. Rescue teams arrived at the scene with communication nodes. In step S1, five communication nodes were deployed in the disaster area, including one backbone node and four access nodes. The backbone node was deployed in the central square of the disaster area and connected to the undamaged external communication network through optical fiber. The four access nodes were deployed in the four directional edge areas of the disaster area. Each access node was equipped with three communication modules: a UHF band communication module, an ultra-high frequency band communication module, and a wireless local area network communication module.

[0051] In step S2, the disaster type parameters are collected as earthquake type parameters, and the terrain parameters include an altitude of 25 meters, a building density of 0.6, and a ground roughness of 0.3. Based on these parameters, a channel configuration strategy table is generated, and the priority score and weighting coefficient of each node on each channel type are calculated. , , The values ​​were set to 0.4, 0.3, and 0.3 respectively. The coverage area had a higher weight when the building density was higher. The value is relatively high.

[0052] In step S3, each access node broadcasts its own list of available channels on the beacon channel. Adjacent access nodes and backbone nodes are assigned primary and backup channel types based on priority scores. For access nodes deployed in densely built-up areas, the diffraction capability of UHF band channels gives them the highest priority score, so they are selected as the primary channel type. UHF band channels are selected as backup channel types. The primary and backup communication links are established simultaneously and both are kept connected.

[0053] In step S4, each access node calculates the comprehensive quality score for each channel type with a period of 1 second, and the signal strength weighting coefficient. Set to 0.4, channel load weighting coefficient Set to 0.3, bit error rate weighting coefficient The threshold is set to 0.3, and the preset threshold is set to 0.5. When the overall quality score of an access node on its main communication link is lower than 0.5, the communication service on that node will be switched to the backup channel with the highest overall quality score.

[0054] Example 3 This embodiment, based on Embodiment 1, takes the communication deployment at a flood disaster site as an example to further illustrate the method of the present invention.

[0055] After the flood disaster, a large area of ​​the site was submerged and conventional communication facilities were damaged. The rescue team arrived at the site by speedboat carrying communication nodes. In step S1, four communication nodes were deployed in the disaster area, including one backbone node and three access nodes. The backbone node was deployed on unsubmerged high ground and connected to the external communication network through a satellite communication module. The three access nodes were deployed on speedboats in different directions. Each access node was equipped with an ultra-high frequency band communication module and a satellite communication module.

[0056] In step S2, the disaster type parameter is the flood type parameter, and the terrain parameters include the altitude parameter of 5 meters, the building density parameter of 0.1 and the ground roughness parameter of 0.1. Since the water surface environment has a strong reflection of wireless signals, the calculation of the coverage parameters needs to include the water surface reflection correction factor.

[0057] In step S3, since the access node is only configured with two types of communication modules, the channel type with the highest priority score is used as the primary channel type, and the other is used as the backup channel type. At the same time, the primary communication link and the backup communication link are established.

[0058] In step S4, since the flood site environment changes slowly, the calculation period for the comprehensive quality score is set to 5 seconds, and the preset threshold is set to 0.4. When the comprehensive quality score is lower than 0.4, channel switching is triggered.

[0059] It should be noted that the combination of the technical features in this case is not limited to the combination methods described in the claims of this case or the combination methods described in the specific embodiments. All technical features described in this case can be freely combined or combined in any way, unless they contradict each other.

[0060] It should also be noted that the embodiments listed above are merely specific embodiments of the present invention. Obviously, the present invention is not limited to the above embodiments, and similar changes or modifications made thereto are those that can be directly derived or easily conceived by those skilled in the art from the content disclosed in the present invention, and should all fall within the protection scope of the present invention.

Claims

1. A method for deploying multi-channel wireless communication at disaster sites, characterized in that, Includes the following steps: Step S1: Deploy multiple communication nodes within the target area of ​​the disaster site, with each communication node configured with at least two different communication modules; Step S2: Collect disaster type parameters and terrain parameters at the disaster site, and generate a channel configuration strategy table based on the disaster type parameters and the terrain parameters; Step S3: According to the channel configuration strategy table, allocate the primary channel type and the backup channel type on each communication node, and establish a multi-channel communication link between multiple communication nodes. Step S4: During the communication process, each communication node monitors its signal strength parameters, bit error rate parameters, and load rate parameters for each channel type, and switches the channel type based on the monitoring results.

2. The method for deploying multi-channel wireless communication at a disaster site according to claim 1, characterized in that, In step S2, the channel configuration strategy table includes: a priority score for each communication node on different channel types, the priority score being calculated using the following formula: ; in, This represents the priority score of the i-th communication node on the j-th channel type. The parameter representing the coverage range of the i-th communication node on the j-th channel type is calculated from the transmission power of the communication node and the terrain parameters. The bandwidth capacity parameter of the i-th communication node on the j-th channel type is determined by the modulation scheme and operating frequency band of the communication module. The anti-interference performance parameter of the i-th communication node on the j-th channel type is obtained by the spreading gain of the communication module and the channel coding method of the communication module. , , The weighting coefficients for coverage range, bandwidth capacity, and anti-interference performance parameters are respectively, and are all preset constants that satisfy... .

3. The method for deploying multi-channel wireless communication at a disaster site according to claim 1, characterized in that, In step S1, the plurality of communication nodes include at least one backbone node and at least one access node. The backbone node is deployed in the central area of ​​the disaster site, and the access node is deployed in the edge area of ​​the disaster site. The backbone node is connected to an external communication network via a wired connection, and the access node is connected to the backbone node via a wireless connection.

4. The method for deploying multi-channel wireless communication at a disaster site according to claim 1, characterized in that, In step S3, the process of establishing a multi-channel communication link includes the following sub-steps: Step S31: Each communication node broadcasts its configured list of available channels; Step S32: Determine the adjacent communication nodes by the received signal strength on the beacon channel. The adjacent communication nodes select the channel type with the highest priority score from the list of available channels as the primary channel type and select the channel type with the second highest priority score as the backup channel type according to the channel configuration strategy table. Step S33: Simultaneously establish a primary communication link based on the primary channel type and a backup communication link based on the backup channel type between adjacent communication nodes, and both the primary communication link and the backup communication link are in a connected state.

5. The method for deploying multi-channel wireless communication at a disaster site according to claim 1, characterized in that, In step S4, the process of switching channel types includes: calculating the comprehensive quality score of each communication node on each channel type at a preset period, wherein the comprehensive quality score is calculated by the following formula: ; in, This represents the overall quality score of the i-th communication node at time t on the j-th channel type. This represents the normalized signal strength of the i-th communication node at time t on the j-th channel type. This represents the channel load rate of the i-th communication node at time t on the j-th channel type. This represents the bit error rate of the i-th communication node at time t on the j-th channel type. , , These are the signal strength weighting coefficient, channel load weighting coefficient, and bit error rate weighting coefficient, respectively, all of which are preset constants and satisfy the following conditions: .

6. The method for deploying multi-channel wireless communication at a disaster site according to claim 5, characterized in that, In step S4, when the i-th communication node achieves a comprehensive quality score on the j-th channel type... When the threshold is lower than the preset threshold, the communication services carried on the j-th channel type will be switched to the other channel type with the highest comprehensive quality score in the i-th communication node.

7. A method for deploying multi-channel wireless communication at a disaster site according to claim 1, characterized in that, In step S1, the communication module includes at least two of the following: a UHF band communication module, an ultra-high frequency band communication module, a wireless local area network communication module, and a satellite communication module.

8. A method for deploying multi-channel wireless communication at a disaster site according to claim 1, characterized in that, In step S2, the disaster type parameters include at least one of earthquake type parameters, flood type parameters, fire type parameters, and landslide type parameters, and the topographic parameters include at least one of altitude parameters, building density parameters, and ground roughness parameters.

Citation Information

Patent Citations

  • Communication node automatic deployment device

    CN112423309A

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    CN117768868A

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